Job details

Senior Machine Learning Scientist

The Company You’ll Join

At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. From understanding global travel trends to curating the perfect restaurant recommendation based on your unique tastes, our Taste AI engine sifts through the noise to find the signals that matter.

And the best part? Qloo's API suite is powered by cultural entities, not personal identities, ensuring our insights are derived without relying on personally identifiable information.

Read more about our recent Series C funding here.

The team you’ll work with:

Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a

proactive problem-solver with a passion for machine learning, we'd love to meet you.

Hear what the team has to say – “...the fantastic team I work with creates an environment where we encourage each other and collaborate, which naturally leads to creative ideas. The complex technical challenges we face not only keep things interesting but also push us to find unique solutions, and AI constantly inspires me to excel in my role.” - Elizabeth, VP of Applied ML.

The impact you’ll have:

As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring of machine learning systems.

You'll immediately provide value by:

Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production.
Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models.
Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance.
Collaboration & Cross-functional Integration: Work closely with software engineers, data engineers, and other teams to integrate ML models into production systems, aligning with business requirements.
Model Performance Monitoring & Improvement: Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines.
Experimentation & Innovation: Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions.
Knowledge Sharing & Mentorship: Present findings to stakeholders (both technical and non-technical) and contribute to the development of best practices. Mentor junior team members and foster a collaborative team environment.
Continuous Learning: Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques.

To be a successful match you must have:

3+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch).
A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred.
Proficient in Python and PySpark; experience with SQL or similar querying languages. Solid foundation in machine learning principles, including model evaluation, optimization, and deployment best practices.
Self-motivated, collaborative, and adaptable, with a "can-do" attitude and comfort in a fast-paced, often ambiguous environment.
Excellent communication and interpersonal skills, capable of bridging technical work with business applications.
Experience with model monitoring frameworks and A/B testing.
Familiarity with cloud environments (e.g., AWS, Google Cloud) and deployment of ML models at scale.
Exposure to startup or high-growth company environments.

What we offer:

Potential equity package
Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee
4% 401K matching
20 paid time off days
5 paid sick days
12 weeks of paid parental leave
10+ annual company holidays
Opportunities for professional development and growth within a dynamic environment
A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible
The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology
Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired

$140,000 - $180,000 a year

Compensation determined based on experience and qualifications. To be discussed during interview process

We are open to different backgrounds and tenure for this hire and compensation will be commensurate with experience. Please note that equity may be included in our total package, depending on role and level.

Average salary estimate

$160000 / YEARLY (est.)

min

max

$140000K

$180000K

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What You Should Know About Senior Machine Learning Scientist, Qloo

Join Qloo as a Senior Machine Learning Scientist and be part of an innovative team shaping the future of Taste AI technology! At Qloo, we harness vast data—over half a billion records—to uncover insights about consumer preferences. You'll engage directly with our API suite while working on projects that influence global trends and recommendations. This role, reporting to our Director of AI, is not just about technical skills; it's about collaboration and exploration in a vibrant environment where creativity thrives. As Elizabeth, our VP of Applied ML, shares, it's all about teamwork that fosters unique solutions and pushes boundaries in AI. Your responsibilities include deploying robust ML models, conducting data analysis, enhancing ML pipelines, and collaborating with cross-functional teams to integrate solutions. Continuous learning is vital as you explore new techniques and mentor junior colleagues, ensuring you’re always on the cutting edge of ML innovations. We value self-motivated individuals with excellent communication skills who can bridge technical concepts with business outcomes. If you’re excited about tackling complex challenges and making a real impact, we’d love to meet you. Discover the transformative journey awaiting you at Qloo, where your contributions will influence consumer engagement like never before!

Frequently Asked Questions (FAQs) for Senior Machine Learning Scientist Role at Qloo

What does a Senior Machine Learning Scientist do at Qloo?

As a Senior Machine Learning Scientist at Qloo, you will develop and implement advanced machine learning models, conduct data analysis, and ensure seamless integration into production systems. This collaborative role entails working with software and data engineers while fostering innovation and mentoring junior team members.